One of the most important goals of modern medicine is prevention against pandemic and civilization diseases. For such tasks, advanced IT infrastructures and intelligent AI systems are used, which allow supporting patients’ diagnosis and treatment. In our research, we also try to define efficient tools for coronavirus classification, especially using mathematical linguistic methods. This paper presents the ways of application of linguistics techniques in supporting effective management of medical data obtained during coronavirus treatments, and possibilities of application of such methods in classification of different variants of the coronaviruses detected for particular patients. Currently, several types of coronavirus are distinguished, which are characterized by differences in their RNA structure, which in turn causes an increase in the rate of mutation and infection with these viruses.

现代医学最重要的目标之一是预防流行病和文明病。对于此类任务，需要使用先进的IT基础设施和智能AI系统，以支持患者的诊断和治疗。在我们的研究中，我们还尝试定义冠状病毒分类的有效工具，特别是使用数学语言方法。本文介绍了应用语言学技术支持有效管理冠状病毒治疗期间获得的医疗数据的方法，以及应用此类方法对特定患者检测到的冠状病毒不同变种进行分类的可能性。目前，冠状病毒有多种类型，其特点是RNA结构的差异，进而导致这些病毒的突变和感染率增加。